GCP Devops

Capgemini; Gurugram District, Bengaluru, Pune District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Capgemini in India seeks a DevOps Engineer with strong GCP and Kubernetes experience to build and operate AI/ML platforms. You will deploy cloud infrastructure, implement CI/CD pipelines for AI applications, and automate provisioning with Infrastructure as Code.

You will manage container orchestration and ensure monitoring, logging, and security across environments. The role requires hands-on work with GCP services, Terraform, Docker, and CI/CD tools, with a focus on reliability and scalable,

Qualifications

• 3+ years of GCP experience.
• Experience deploying and managing GCP infrastructure.
• Experience supporting AI/ML platforms preferred.
• Experience with CI/CD for AI applications.
• Experience with Kubernetes and container orchestration.

Responsibilities

• Deploy and manage GCP infrastructure.
• Build CI/CD pipelines for AI applications.
• Automate infrastructure provisioning using Infrastructure as Code.
• Manage Kubernetes environments.
• Implement monitoring, logging, and alerting.
• Support MLOps and GenAI workloads.
• Ensure platform reliability, scalability, and security.

Skills

GCP

GKE

Terraform

Docker

Kubernetes

CI/CD

Logging/Monitoring

IAM

Networking

Security

Automation

Tools

Cloud Build

Cloud Run

Compute Engine

VPC & Networking

IAM

Terraform

Docker

Kubernetes

GitHub Actions

GitLab CI

Jenkins

Monitoring (Cloud Monitoring, Prometheus, Grafana)

Job description

Experience

• 59 years of DevOps experience


• 3+ years of GCP experience


• Experience supporting AI/ML platforms preferred

Key Responsibilities

• Deploy and manage GCP infrastructure.


• Build CI/CD pipelines for AI applications.


• Automate infrastructure provisioning using Infrastructure as Code.


• Manage Kubernetes environments.


• Implement monitoring, logging, and alerting.


• Support MLOps and GenAI workloads.


• Ensure platform reliability, scalability, and security.

Technical Skills

Mandatory

• Google Cloud Platform (GCP)


• GKE


• Cloud Build


• Cloud Run


• Compute Engine


• VPC & Networking


• IAM


• Terraform


• Docker


• Kubernetes


• GitHub Actions/GitLab CI/Jenkins


• Monitoring & Logging (Cloud Monitoring, Prometheus, Grafana)

Preferred

• Vertex AI


• MLOps


• Kubeflow


• ML Pipelines


• Python/Bash Scripting

Security & Compliance Automation